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Clustering and artificial neural networks: classification of variable lengths of Helminth antigens in set of domains Genet. Mol. Biol.
Rodrigues,Thiago de Souza; Pacífico,Lucila Grossi Gonçalves; Teixeira,Santuza Maria Ribeiro; Oliveira,Sérgio Costa; Braga,Antônio de Pádua.
A new scheme for representing proteins of different lengths in number of amino acids that can be presented to a fixed number of inputs Artificial Neural Networks (ANNs) speel-out classification is described. K-Means's clustering of the new vectors with subsequent classification was then possible with the dimension reduction technique Principal Component Analysis applied previously. The new representation scheme was applied to a set of 112 antigens sequences from several parasitic helminths, selected in the National Center for Biotechnology Information and classified into fourth different groups. This bioinformatic tool permitted the establishment of a good correlation with domains that are already well characterized, regardless of the differences between...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bioinformatics; Artificial neural networks; Clustering; Helminth antigen; Domain.
Ano: 2004 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572004000400032
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